Pattern Recognition: Introduction, Features, Classifiers and PrinciplesКНИГИ » ПРОГРАММИНГ
Название: Pattern Recognition: Introduction, Features, Classifiers and Principles Автор: Matthias Beyerer Издательство: De Gruyter Oldenbourg Год: 2018 Страниц: 306 Формат: EPUB Размер: 12 Mb Язык: English
This book describes in detail mathematical methods, which lead to suitable characteristics for pattern recognition. It deals with various classifiers and classification methods. Emphasis is on the performance of classifiers and the processing chain: problem-pattern-feature classifier. Parameter estimation, classification on the basis of qualitative characteristics, overfitting and other features are discussed.
Pattern Classification, Second Edition Название: Pattern Classification Автор: Richard O. Duda, Peter E. Hart, David G. Stork Издательство: John Wiley & Sons Год: 2012 Формат: PDF...